IGNNK
Inductive Graph Neural Networks for Spatiotemporal Kriging enabling generalization to unseen sensors and timestamps for robust imputation.
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Prof. Yuankai Wu — Computer Science
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Prof. Yuankai Wu
Professor • College of Computer Science • Sichuan University
I develop intelligent solutions using data-driven approaches and machine learning, with emphasis on deep learning, spatiotemporal data analysis, and intelligent decision-making and control.
About
I'm a Tenure-Track Professor (position equivalent to full professor) at the College of Computer Science, Sichuan University. My primary focus is on developing intelligent solutions using data-driven approaches and machine learning. Previously, I was an IVADO postdoctoral fellow at McGill University. I completed my Ph.D. at Beijing Institute of Technology.
My research interests include deep learning, spatiotemporal data analysis, intelligent decision making and control, and applications across air traffic management and intelligent transportation systems. My publications have received 4000+ citations on Google Scholar.
- Affiliation: College of Computer Science, Sichuan University
- Location: Chengdu, Sichuan, China
- Email: wuyk0@scu.edu.cn
Research Interests
- Machine Learning
- Deep Learning
- Spatiotemporal Modeling
- Intelligent Transportation
- Air Traffic Management
- Data Science
- Reinforcement Learning
Personal Update
I am recruiting Ph.D. and MSE students for Fall 2026 in: (1) Machine Learning and Data Science, (2) Algorithms for air traffic management and intelligent transportation systems, (3) Spatiotemporal data modeling. If you are interested, please take a look and contact me.
Selected News
- Selected among Stanford/Elsevier's Top 2% Scientists for 2024 September 2025 • Better than 2023.
- Selected among Stanford/Elsevier's Top 2% Scientists for 2023 September 2024 • Ranked top 1% by performance for 2023.
- First cohort of the National Program for Recruiting Overseas Postdoctoral Talents March 2024
- Promoted to IEEE Senior Member October 2023
- Awarded Tianfu Emei plan of Sichuan Province April 2023
- 2022 IEEE TII Outstanding Paper Award August 2022
- Tenure-track professor at Sichuan University (level equivalent to full professor) March 2022
Selected Publications
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Aeolus: A Multi-structural Flight Delay Dataset Lin Xu, Xinyun Yuan, Yuxuan Liang, Suwan Yin, Yuankai Wu*, Huachun Tan NeuRIPS, 2025.A large-scale multi-modal flight delay dataset for benchmarking deep tabular model.
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Rethinking urban mobility prediction: A multivariate time series forecasting approach Jinguo Cheng, Ke Li, Yuxuan Liang, Lijun Sun, Junchi Yan, Yuankai Wu*, Huachun Tan TITS, 2025.
A Transformer for urban mobility prediction.
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Long-Term Airport Network Performance Forecasting With Linear Diffusion Graph Networks Yuankai Wu, Jing Yang, Xiaoxu Chen, Yi Lin, Hongyu Yang TITS, 2024.We propose a linear diffusion-based graph network to capture long-horizon spatial propagation for airport network performance, achieving accurate delay forecasting with efficient training.
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MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting Cai Wanlin, Yuxuan Liang, Xianggen Liu, Jianshuai Feng, Yuankai Wu* AAAI, 2024.A multiscale architecture that learns cross-series correlations to improve multivariate forecasting across diverse horizons and datasets.
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Spatiotemporal Propagation Learning for Network-Wide Flight Delay Prediction Yuankai Wu, Hongyu Yang, Yi Lin, Hong Liu TKDE, 2023.A propagation-aware modeling framework that learns how delays spread across the air network, enabling accurate system-wide predictions.
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Inductive Graph Neural Networks for Spatiotemporal Kriging Yuankai Wu, Dingyi Zhuang, Aurelie Labbe, Lijun Sun AAAI, 2021.Introduces an inductive GNN for kriging that generalizes to unseen nodes and times, improving imputation on sparse spatiotemporal data.
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Deep Learning‐Based Super‐Resolution Climate Simulator‐Emulator Framework for Urban Heat Studies Yuankai Wu, Bernardo Teufel, Laxmi Sushama, Stephane Belair, Lijun Sun Geophysical Research Letters, 2021.A deep super-resolution pipeline that emulates high-resolution climate fields for urban heat analysis at reduced computational cost.
Projects
My goal is to: (1) develop supervised and unsupervised ML tools for spatial and temporal dependencies, (2) make reliable predictions over space and time, (3) establish multi-agent and multi-objective RL algorithms, and (4) achieve system-level control. Applications include spatiotemporal kriging, traffic forecasting, freeway management, and HEV energy management.
Research Projects
DRL-Energy-Management
Deep reinforcement learning based energy management for hybrid electric vehicles under real-world driving scenarios.
MSGNet
Learning multi-scale inter-series correlations for accurate multivariate time series forecasting.
Granted Research Funding (selected)
- Abnormal Detection System for Nuclear Reactor Operations Co-PI: Heng Zhang, Yuankai Wu • China Institute of Nuclear Power Technology • ￥400,000
- Integrated Data Platform for Electric Vehicles, Roads, and Chargers PI: Yuankai Wu • Wuhan Daozhiyuan Technology Co., Ltd. • ￥600,000
- Urban Metro Power Comsumption Forecasting Project PI: Yuankai Wu • Guangzhou Metro • ￥190,000
- Deep Spatio-Temporal Representation Techniques for Multi-Modal OD Flow PI: Yuankai Wu • National Natural Science Foundation of China • ￥300,000
- Prediction and Decision-Making Intelligence for Transportation Systems PI: Yuankai Wu • National Program for Recruiting Overseas Postdoctoral Talents • ￥900,000
- Image Detection for Transmission Components via Spatial Scale Standardization Co-PI: Yuankai Wu, Xia Feng • State Grid Hebei Electric Power Research Institute • ￥900,000
- Spatiotemporal Data-Driven Intelligent Transportation System Modeling PI: Yuankai Wu • Tianfu Emei plan of Sichuan Province • ￥500,000
- Flight Delay Modeling and Prediction with Graph Neural Networks PI: Yuankai Wu • NSFC of Sichuan Province (Young Scientists Fund) • ￥100,000
- Survey on Deep Learning for ITS PI: Yuankai Wu, Jianshuai Feng, Zhenxing Yao • China Association for Science and Technology (Young Talents Plan) • ￥50,000
- Spatiotemporal Data-Driven Safe and Intelligent Air Traffic Management PI: Yuankai Wu • Start-up from Sichuan University • ￥1,000,000
- Deep Spatiotemporal Modeling for Urban Traffic Data PI: Yuankai Wu; Supervisors: Lijun Sun, Aurélie Labbe • IVADO • $140,000
Students
Our group includes Ph.D., M.S., and undergraduate students. See the full roster on the students page.
Contact
For prospective students and collaborators, please email wuyk0@scu.edu.cn or Kaimaogege@gmail.com .